In this article, we are going to see how pypolars function and how it is compared pandas.
Pandas is such a favored library that even non-Python programmers and data science professionals have heard ample about it. And if you’re a seasoned Python programmer, then you’ll be closely familiar with how flexible the Pandas library is.
Pandas is one of the basic libraries every data scientist comes across. It is a super-powerful, fast, and easy to use python library used for data analysis and manipulation. From creating the data frames to reading files of a different format, be it a text file, CSV, JSON, or from slicing and dicing the data to combining multiple data sources, Pandas is a one-stop solution.
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
5 stages of learning Data Science and how to ace each of them
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start?
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.